2 days ago
Remote, Canada
Mid Level / Senior
H1B Sponsor
Base Salary
$125k - $175k/yr
Responsibilities
- Develop and iterate on fraud prediction models using various data approaches.
- Build and scale feature pipelines and training datasets from proprietary and third-party signals.
- Prototype new modeling ideas and features, running offline experiments.
- Integrate models into batch and/or real-time decision systems.
- Monitor model and data health, defining retraining and backtesting workflows.
- Collaborate with Engineering, Fraud Analytics, Product, and ML Platform teams.
Requirements
- 2+ years of experience as a machine learning engineer or a PhD in a relevant field.
- Strong Python skills and experience writing production-quality code.
- Experience with tabular classification models, preferably using gradient-boosted decision trees.
- Familiarity with deep learning frameworks, preferably PyTorch.
- Experience with distributed data processing or parallel compute frameworks, preferably Spark.
- Knowledge of ML lifecycle tooling for training orchestration and model monitoring.
- Proficient in using AI-powered developer tools for code quality and iteration.
- Ability to navigate large code bases and provide feedback through code reviews.
- Strong verbal and written communication skills.
Benefits
- 100% subsidized medical coverage for you and your dependents.
- Generous stipends for technology, food, lifestyle needs, and family forming expenses.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan enabling you to buy shares at a discount.
Tech Stack
Apache AirflowApache SparkLightGBMMLflowPythonPyTorchXGBoost
Categories
AI & MLData Science